Bin Data: Satellite and Observations

binning_1.ncl: Read multiple files (here, 131 files) for one particular day; for each file bin and sum the satellite data using bin_sum; after all files have been read, use bin_avg to average all the summed values; plot; create a netCDF of the binned (gridded data).

Note: here the data are netCDF files. However, the original files were HDF-SDS (Scientific Data Set) files. NCL can handle either. Only the file extension need be changed (.nc to .hdf).

binning_2.ncl: Consider a triplet ( clat[*], clon[*], cval[*] ) that represent storm track positions and winds. Count the instances and frequency that these fall within a particular grid box and the average wind values. These 'observations' are all randomly generated and are presented for illustration